Data Science Foundations

Nearly one in four job postings in the US alone require some data science skills and employers are paying up to 14% more for those skills. (Report : ExcelinEd & the Burning Glass Institute). This powerful specialisation from the University of London and IBM gives you the perfect academic and industry-informed practical introduction to data science. You get: - Progress transfer for the University of London’s BSc in Computer Science - The foundational skills and knowledge you need to get a job in a data-rich environment. During this specialisation, you’ll be introduced to data science, statistics, programming, computational thinking, machine learning, and more. You’ll discover the role of data science in today’s data-driven world. Plus, you’ll get hands-on using IBM’s data science tools, giving you practical experience to talk about in interviews. Half the teaching is provided by Goldsmiths, University of London, giving you a strong academic foundation. The other half, designed by IBM, provides real-world professional insight supported by practical projects and a capstone project for your resume. The “Problems and Algorithms in Data Science” course is a great preview of the BSc Computer Science degree with the opportunity to roll your progress into the degree, if you successfully apply and register. If you’re looking for a solid, practical understanding of data science that unlocks academic and career opportunities, ENROLL today!

• Foundational knowledge and practical understanding of data science that unlocks academic and career opportunities
• Basic hands-on skills in Python, R, SQL, and tools like GitHub and Jupyter Notebooks, including their essential features and uses in data science
• Foundational data science processes, including data collection, simple model building, and algorithm concepts using flowcharts and pseudocode
• Basic data analysis with Python, using libraries like Pandas and Numpy, creating simple dashboards, and working with clustering algorithms

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities